Consumption by region

Overview

Sys.setenv("plotly_username"="hanyan")
Sys.setenv("plotly_api_key"="your_api_key")
drinks$continent = countrycode(drinks$country, 'country.name', 'continent')
## Warning in countrycode(drinks$country, "country.name", "continent"): Some values were not matched unambiguously: Micronesia
plot_ly(drinks, x = ~beer_servings, y = ~spirit_servings, z = ~wine_servings, 
             size=~total_litres_of_pure_alcohol, color = ~continent,
             marker = list(symbol = 'circle', sizemode = 'diameter'), 
        sizes = c(1, 20)) %>%
       add_markers()

Beer

beer<- cbind(region = rownames(regionalconsumption("beer_servings")), regionalconsumption("beer_servings")) %>%mutate(row.names=NULL) %>% arrange(-meanbeer_servingsbyStern) %>% rename(beer_serving=meanbeer_servingsbyStern) %>% mutate(beer_serving=round(beer_serving)) 
beer %>% formattable(align="l")
region beer_serving
North America 244
Europe 189
South America 175
Central America 148
Caribbean 128
Australasia 92
South+E Africa 83
East Asia 56
West Africa 52
Central Asia 34
North Africa 17
West Asia 11
South Asia 8

Spirtis

region spirit_serving
Caribbean 216
North America 140
Europe 133
South America 115
Central America 91
Central Asia 88
East Asia 71
Australasia 59
South Asia 32
West Asia 31
South+E Africa 19
West Africa 17
North Africa 4

Wine

region wine_serving
Europe 135
North America 92
South America 62
Australasia 37
Caribbean 25
West Africa 23
East Asia 12
South+E Africa 11
Central Asia 10
North Africa 8
Central America 6
West Asia 6
South Asia 0

Comparison by region and continents

by region

by continent

Map view

## 187 codes from your data successfully matched countries in the map
## 6 codes from your data failed to match with a country code in the map
##      failedCodes failedCountries               
## [1,] NA          "Antigua & Barbuda"           
## [2,] NA          "Cabo Verde"                  
## [3,] NA          "DR Congo"                    
## [4,] NA          "Micronesia"                  
## [5,] NA          "St. Vincent & the Grenadines"
## [6,] NA          "Trinidad & Tobago"           
## 56 codes from the map weren't represented in your data

## [1] TRUE

Clustering